Fuzzy Model Predictive Controller for Artificial Pancreas

El Hachimi, Mohamed; Ballouk, Abdelhakim; Baghdad, AbdNaceur

doi:10.11591/ijpeds.v9.i3.pp1178-1185

Akses terbuka Jurnal SINTA 1

Fuzzy Model Predictive Controller for Artificial Pancreas

International Journal of Power Electronics and Drive Systems · Vol. 9 No. 3 (2018) · hlm. 1178–1185

DOI: 10.11591/ijpeds.v9.i3.pp1178-1185
ISSN: 2722-256X, 2088-8694
Terbit: 2018-09-01
Penerbit: Institute of Advanced Engineering and Science
Bahasa: eng
Lisensi: creativecommons.org/licenses/by-sa/4.0

Abstrak

This work consists on new tuning of Model Predictive Controllers using Fuzzy Logic method. Tree relevant parameters are automatically adjusted the prediction horizon Np, the input weight R and the output weight Q. The proposed controller is implemented in an Artificial Pancreas and tested under realistic conditions in a commercial platform of simulation. The result of the simulations revealed the success of such a method to improve the controller’s performances compared to the previous ones.

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University of Hassan II Casablanca
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Rekan penulis	Organisasi	Artikel bersama
Abdennaceur Baghdad	University of Hassan II Casablanca	5
Abdelmajid Badri	University of Hassan II Casablanca	2
Ikram Daanoune	University of Hassan II Casablanca	2
Abir Zaidi	University of Hassan II Casablanca	1
Aïcha Sahel	University of Hassan II Casablanca	1
Jihane Ouchrif	University of Hassan II Casablanca	1
Ilyas Khelafa	University of Hassan II Casablanca	1
Abdenaceur Baghdad	Afiliasi tidak diketahui	1
Sara El Mattar	University of Hassan II Casablanca	1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) http://ijpeds.iaescore.com/index.php/IJPEDS/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.

Metadata asli (oai_dc)

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	<dc:title xml:lang="en-US">Fuzzy Model Predictive Controller for Artificial Pancreas</dc:title>
	<dc:creator>El Hachimi, Mohamed</dc:creator>
	<dc:creator>Ballouk, Abdelhakim</dc:creator>
	<dc:creator>Baghdad, AbdNaceur</dc:creator>
	<dc:description xml:lang="en-US">This work consists on new tuning of Model Predictive Controllers using Fuzzy Logic method. Tree relevant parameters are automatically adjusted the prediction horizon Np, the input weight R and the output weight Q. The proposed controller is implemented in an Artificial Pancreas and tested under realistic conditions in a commercial platform of simulation. The result of the simulations revealed the success of such a method to improve the controller’s performances compared to the previous ones.</dc:description>
	<dc:publisher xml:lang="en-US">Institute of Advanced Engineering and Science</dc:publisher>
	<dc:contributor xml:lang="en-US">University Hassan II</dc:contributor>
	<dc:date>2018-09-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US"></dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/9074</dc:identifier>
	<dc:identifier>10.11591/ijpeds.v9.i3.pp1178-1185</dc:identifier>
	<dc:source xml:lang="en-US">International Journal of Power Electronics and Drive Systems (IJPEDS); Vol 9, No 3: September 2018; 1178-1185</dc:source>
	<dc:source>2722-256X</dc:source>
	<dc:source>2088-8694</dc:source>
	<dc:source>10.11591/ijpeds.v9.i3</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/9074/11314</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2018 Mohamed El Hachimi, Abdelhakim Ballouk, AbdNaceur Baghdad</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
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